{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["time", "supported platform", "common vulnerabilities and exposures", "patch", "vulnerable system version", "issues addressed", "patch number", "releaser", "vulnerability"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "time", "vulnerability", "supported platform", "discoverer", "vulnerable system version", "common vulnerabilities and exposures", "vulnerable system owner"]}, {"event_type": "ransom", "trigger": true, "arguments": ["place", "damage amount", "price", "tool", "payment method", "attack pattern"]}, {"event_type": "data breach", "trigger": true, "arguments": ["attack pattern", "attacker", "number of victim", "tool", "place", "purpose", "compromised data", "damage amount", "time", "victim", "number of data"]}, {"event_type": "phishing", "trigger": true, "arguments": ["purpose", "damage amount", "tool", "place", "attack pattern", "time", "victim", "attacker"]}], "input": "Naidoo warns consumers to look out for money laundering scams - when scammers trick people through social media platforms by claiming to have large sums of cash that they need to deposit urgently through a foreign bank account and identity theft - when fraudsters steal information and use it illegally by impersonating victims ."}
{"patch vulnerability": [], "discover vulnerability": [], "ransom": [], "data breach": [{"trigger": "steal", "arguments": {"attack pattern": "NAN", "attacker": "fraudsters", "number of victim": "NAN", "tool": "NAN", "place": "NAN", "purpose": "use it illegally by impersonating victims", "compromised data": "information", "damage amount": "NAN", "time": "NAN", "victim": "NAN", "number of data": "NAN"}}], "phishing": []}